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WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 6 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
APWEB
2006
Springer
15 years 3 months ago
LocalRank: A Prototype for Ranking Web Pages with Database Considering Geographical Locality
In this demo, we present a method called LocalRank to rank web pages. Our method integrates the web and a local user database with semantic links including geographical ones. We fi...
Jianwei Zhang 0002, Yoshiharu Ishikawa, Sayumi Kur...
CIKM
2009
Springer
15 years 6 months ago
P-Rank: a comprehensive structural similarity measure over information networks
With the ubiquity of information networks and their broad applications, the issue of similarity computation between entities of an information network arises and draws extensive r...
Peixiang Zhao, Jiawei Han, Yizhou Sun
ESWS
2010
Springer
15 years 4 months ago
Hierarchical Link Analysis for Ranking Web Data
On the Web of Data, entities are often interconnected in a way similar to web documents. Previous works have shown how PageRank can be adapted to achieve entity ranking. In this pa...
Renaud Delbru, Nickolai Toupikov, Michele Catasta,...
SIGIR
2008
ACM
14 years 11 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff